Combining vector similarity search and other search techniques (full-text, BM25, and so on). This is generally referred to as "Hybrid" search.

Hybrid Search · Step 1: Make sure the vectorstore you are using supports hybrid search · Step 2: Add that parameter as a configurable field for the chain · Step ...

9 дек. 2023 г. · A combination of keyword matching and semantic search is used to search for user quries. This is known as hybrid search.

Hybrid search is a technique that combines multiple search algorithms to improve the accuracy and relevance of search results. It uses the best features of both ...

This will help you getting started with the Milvus Hybrid Search retriever, which combines the strengths of both dense and sparse vector search.

12 сент. 2024 г. · By combining LangGraph with MongoDB's vector search capabilities, developers can create more sophisticated, high-performing AI applications.

Pinecone is a vector database with broad functionality. This notebook goes over how to use a retriever that under the hood uses Pinecone and Hybrid Search. Setup Pinecone · Get embeddings and sparse...

Продолжительность: 42:35
Опубликовано: 15 июл. 2024 г.

Build context-aware reasoning applications. Contribute to langchain-ai/langchain development by creating an account on GitHub.

Build context-aware reasoning applications. Contribute to langchain-ai/langchain development by creating an account on GitHub.